Python Developer- Quant Core Data | Experienced Hire

Overview Join our Quant Core Data team to translate mathematical trading logic into high-performance code, and build and scale the data and backtesting infrastructure used by quantitative researchers and strategists. Our team produces data for studies to steadily improve trading behavior and strategies. In this role, you will: Translate mathematical trading logic into high-performance, optimized code Build and maintain backtesting systems that simulate strategy behavior in production Design and scale our historical data framework for efficiency and robustness Build internal tools to create, analyze, and visualize large datasets Build packages used by expert researchers to evolve our signal generation technology What we're looking for PhD (graduating by Summer 2026) or postdoc in a quantitative field (e.g., Math, Physics, Statistics, EE, CS, Operations Research, Economics) Experience writing high-performance Python (Cython, pybind11, numba, or similar) and optimizing hot code paths Strong Python data analysis skills (polars/pandas) for large datasets Enthusiasm for data at scale, with strong attention to cleanliness and correctness Comfort translating ambiguous research requirements into robust engineering solutions J-18808-Ljbffr